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Mastering Elastic Stack

Mastering Elastic Stack

By : Kumar Gupta, Gupta
1 (1)
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Mastering Elastic Stack

Mastering Elastic Stack

1 (1)
By: Kumar Gupta, Gupta

Overview of this book

Even structured data is useless if it can’t help you to take strategic decisions and improve existing system. If you love to play with data, or your job requires you to process custom log formats, design a scalable analysis system, and manage logs to do real-time data analysis, this book is your one-stop solution. By combining the massively popular Elasticsearch, Logstash, Beats, and Kibana, elastic.co has advanced the end-to-end stack that delivers actionable insights in real time from almost any type of structured or unstructured data source. If your job requires you to process custom log formats, design a scalable analysis system, explore a variety of data, and manage logs, this book is your one-stop solution. You will learn how to create real-time dashboards and how to manage the life cycle of logs in detail through real-life scenarios. This book brushes up your basic knowledge on implementing the Elastic Stack and then dives deeper into complex and advanced implementations of the Elastic Stack. We’ll help you to solve data analytics challenges using the Elastic Stack and provide practical steps on centralized logging and real-time analytics with the Elastic Stack in production. You will get to grip with advanced techniques for log analysis and visualization. Newly announced features such as Beats and X-Pack are also covered in detail with examples. Toward the end, you will see how to use the Elastic stack for real-world case studies and we’ll show you some best practices and troubleshooting techniques for the Elastic Stack.
Table of Contents (13 chapters)
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Analyzing data using Kibana

When kibana is up and running, we can start visualizing meetup data. Before we can do that, we need to configure index for Kibana. Our index name in Elasticsearch is meetup as we specified in output configuration of Logstash. Let's set up our index pattern. Navigate to Kibana | Management | Index Patterns | Configure an Index Pattern or a Add New index. Add the index pattern for meetup and keep @timestamp field for time field name.

Note

We could use * as wildcard as well and keep meetup*, but we have only one index, and we know that it's meetup so no need to use wildcards. That will also help us to keep data from being mixed up in case we have other indices with the same pattern e.g. meetup-india, meetup-us etc.

Click on Create, and index pattern for our index would be set:

Analyzing data using Kibana

This would add the index pattern, and all fields present in the index meetup will be listed along with their types.

Filtering Content

As soon as our index pattern is set, discover page...

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